{"id":"W2976617628","doi":"10.1130/g46838y.1","title":"High curvatures drive river meandering: REPLY","year":2019,"lang":"en","type":"article","venue":"Geology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Geology; Geomorphology; Geometry; Geodesy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009230316,0.00009120336,0.0001314991,0.0000179686,0.00005364748,0.000002520285,0.0001769959,0.0001071126,0.020881],"category_scores_gemma":[0.000009168303,0.00007850215,0.00002895341,0.00007329173,0.0002644381,0.00009960539,0.00006695505,0.0001357622,0.004800376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411281,"about_ca_system_score_gemma":0.000005224514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003357307,"about_ca_topic_score_gemma":0.0001247961,"domain_scores_codex":[0.9992388,0.00002472518,0.0001081673,0.0002900007,0.00009038336,0.0002479192],"domain_scores_gemma":[0.9996845,0.00003328547,0.0000362645,0.0001985385,0.000003727553,0.00004375992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004433174,0.00003778777,0.9886912,0.000006221389,0.00001994449,0.00002691463,0.0005535734,0.002702493,0.001884203,0.001829794,0.003497719,0.0007058299],"study_design_scores_gemma":[0.0006839813,0.0002114972,0.7412999,0.000003054309,0.00001778099,0.00002759767,0.00002342739,0.0001287183,0.0034153,0.01118829,0.2427699,0.0002306251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799716,0.0000457579,0.0001490173,0.001235226,0.0003192282,0.00009203351,8.342404e-7,0.00005330415,0.01813298],"genre_scores_gemma":[0.9926378,0.0000188438,0.0004308975,0.003076692,0.00002804435,0.00000664013,0.00001092706,0.000005896926,0.003784267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2473913,"threshold_uncertainty_score":0.9959745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004669492357621463,"score_gpt":0.1913772577738804,"score_spread":0.1867077654162589,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}